Videos, Demos, and Reading Material

If you're new to Apache Kafka® and Confluent Platform, here is a curated list of resources to get you started.

Videos

Collection

Confluent YouTube channel
The Confluent YouTube channel is a great resource for tutorials, how-tos, customer use cases, and general Confluent education. This content is frequently updated and so it is recommended that you subscribe.

Event Streaming Platform

The Event Streaming Platform Explained
Jay Kreps discusses key trends and concepts which are at the heart of a revolution happening in data infrastructure and application architectures.
Why Kafka?
Why Kafka has become the event-driven, real-time architecture for enterprises.
Neha Narkhede | Kafka Summit 2018 Keynote (The Present and Future of the Streaming Platform)
Neha Narkhede is co-founder and CTO at Confluent. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Kafka and Apache Samza.
Confluent Essentials for Apache Kafka
In this free 1 hour video, learn about the basic concepts driving the use cases and functionality of Apache Kafka®. (In the link above, scroll to the target video)
Microservices Explained by Confluent
Microservices architectures enable organizations to evolve their systems away from the slow and unresponsive shared-state architectures of the past. Confluent provides a streaming platform for incorporating data in flight into a lightweight, efficient, and responsive microservices architecture.

Stream Processing

Intro to Streams | Kafka Streams API
The Streams API of Apache Kafka is the easiest way to write mission-critical real-time applications and microservices with all the benefits of Kafka's server-side cluster technology. It allows you to build standard Java or Scala applications.
Intro to KSQL | Streaming SQL for Apache Kafka
Confluent KSQL is the streaming SQL engine that implements continuous, Interactive Queries against Kafka. KSQL makes it easy to read, write and process streaming data in real-time, at scale, using SQL-like semantics.

Demos

GitHub Repos for Examples

Confluent Platform Demos Repository
End-to-end demos and quickstarts showcasing stream processing on Confluent Platform.
Kafka Streams Example Repository
Demo applications and code examples for Kafka's Streams API.
Kafka Client Application Examples
Client examples for Java producers, Java consumers, and other clients connecting to Confluent Cloud.
Docker Examples
Multiple examples showcasing the Confluent Platform in Docker.

Highlights

Kafka Event Streaming Application
This demo shows you how to deploy a Apache Kafka® streaming ETL using KSQL for stream processing and Control Center for monitoring, with security enabled end-to-end. You can follow along with the playbook and watch the video tutorials.
Hybrid Apache Kafka Clusters from Self-Hosted to Confluent Cloud
This Confluent Cloud demo is the automated version of the KSQL Tutorial, but instead of KSQL stream processing on your local install, it runs on your Confluent Cloud cluster. You can follow along with the playbook.
Security Tutorial
This tutorial is a step-by-step guide to configuring Confluent Platform with SSL encryption, SASL authentication, and authorization.
Designing Event Driven Systems (Microservices) Demo
This project goes hand in hand with the book 'Designing Event Driven Systems', demonstrating how you can build a small microservices application with Kafka and Kafka Streams.
Real-Time Streaming ETL from Oracle Transactional Data
Replace batch extracts with event streams, and batch transformations with in-flight transformation of event streams. Take a stream of data from a transactional system built on Oracle, transform it, and stream it into Elasticsearch. Use KSQL to filter streams of events in real-time from a database and join between events from two database tables to create rolling aggregates on the data.
Write a User Defined Function (UDF) for KSQL
Build, deploy, and test a user-defined function (UDF) to extend the set of available functions in your KSQL code. Write Java code within the UDF to convert a timestamp from String to BigInt.
Monitoring Kafka in Confluent Control Center
Use the Confluent KSQL CLI and Confluent Control Center to view streams and throughput of incoming records for persistent KSQL queries.